MSCA-DN PhD Mapping Behavioral and Brain Network Dysconnectivity in Psychiatry

As a doctoral candidate you will:

• Analyze multimodal clinical data from the GRIP program, a multidisciplinary treatment program for people hearing voices and recovering from psychosis. Key topics may include conceptual development of methods to link multilevel data including EEG recordings as well as symptom-, functioning-, and personal recovery indicators.
• Study how disconnectivity in brain networks relates to symptom networks and recovery trajectories in psychiatric patients.
• Apply and further develop methods from network science, machine learning, and computational psychiatry.
• Explore how neural, behavioral, and clinical dynamics co-evolve during treatment.
• Contribute to building a conceptual and methodological framework for personalized, recovery-oriented care.
• Collaborate closely with clinicians, data managers, and methodologists; translate findings into clinically meaningful metrics and exploratory decision-support prototypes.
• Present results internally and at international conferences; write and submit first-author papers to peer-reviewed journals.

As part of this PhD, you are invited to develop your own research focus within the broader project, allowing you to actively shape its scientific direction.